An inventory system with single distributor and multiple retailers: Operating scenarios and performance comparison
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Cited by:
- Duan, Qinglin & Warren Liao, T., 2013. "Optimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands," International Journal of Production Economics, Elsevier, vol. 142(1), pages 194-204.
- Guerrero, W.J. & Yeung, T.G. & Guéret, C., 2013. "Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints," European Journal of Operational Research, Elsevier, vol. 231(1), pages 98-108.
- Hoque, M.A., 2011. "An optimal solution technique to the single-vendor multi-buyer integrated inventory supply chain by incorporating some realistic factors," European Journal of Operational Research, Elsevier, vol. 215(1), pages 80-88, November.
- Kevin Geevers & Lotte Hezewijk & Martijn R. K. Mes, 2024. "Multi-echelon inventory optimization using deep reinforcement learning," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 653-683, September.
- Acar, Yavuz & Atadeniz, Sukran Nilvana, 2015. "Comparison of integrated and local planning approaches for the supply network of a globally-dispersed enterprise," International Journal of Production Economics, Elsevier, vol. 167(C), pages 204-219.
- Marjia Haque & Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 2022. "A combined approach for modeling multi-echelon multi-period decentralized supply chain," Annals of Operations Research, Springer, vol. 315(2), pages 1665-1702, August.
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Keywords
Inventory Operating scenario Performance Approximate dynamic programming;Statistics
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